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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>SRT-H: A Hierarchical Framework for Autonomous Surgery via Language Conditioned Imitation Learning · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2505.10251/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/2505.10251/feed.xml" rel="self" type="application/rss+xml" /><item><title>SRT-H: A Hierarchical Framework for Autonomous Surgery via Language Conditioned Imitation Learning — mentioned by esafak</title><link>https://news.ycombinator.com/item?id=44688838</link><guid isPermaLink="false">urn:hackerpapers:mention:2505.10251:44688838</guid><pubDate>Fri, 25 Jul 2025 21:43:12 GMT</pubDate><description>&lt;p&gt;https://arxiv.org/abs/2505.10251 https://h-surgical-robot-transformer.github.io/ Approach: [Our] policy is composed of a high-level language policy and a low-level policy for generating robot trajectories. The high-level policy outputs both a task instruction and a corrective instruction, along with a correction flag. Task instructions describe the primary objective to be executed, while corrective instructions provide fine-grained guidance for recovering from suboptimal states. Examples include &amp;quot;move the left gripper closer to me&amp;quot; or &amp;quot;move the right gripper away from me.&amp;quot; The low-level…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2505.10251/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.RO</category></item></channel></rss>
